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ESTIMATING PROFILES OF FOREST ROADS BY GENETIC ALGORITHMS

机译:用遗传算法估算森林公路的剖面

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摘要

This study examines a method for designing the optimum profile of a forest road in a short matter of time. In this method, a genetic algorithm (GA) searches for points in forest roads where the gradient changes, and dynamic programing (DP) designs the longitudinal slope. This method can be applied to the ground heights of an actual forest road. The inverse of the total of the construction expenditures estimated by DP and the change in longitudinal slope is the fitness function of GA. Crossover and mutation are each repeated 20 times and 420 profiles are designed and assessed, all within about 10 minutes. A comparison of the profile designed by the GA with that of an actual forest road shows only 2 sections where the formation level differed substantially, and the heights at 3 gradient change points nearly corresponded completely with those of an actual forest road. Thus, we believe that the profile designed by the GA is best, or the one of the best. Using the GA reduced the calculation time to about 1/389 that of the conventional method, showing that the method which uses the GA is very useful in designing profiles.
机译:这项研究探讨了一种在短时间内设计最佳林道轮廓的方法。在这种方法中,遗传算法(GA)在林道中搜索坡度变化的点,而动态编程(DP)设计纵向坡度。该方法可以应用于实际林道的地面高度。 DP估算的建筑支出总额与纵向坡度变化的倒数是GA的适应度函数。交叉和突变分别重复20次,并在大约10分钟内设计和评估了420个配置文件。遗传算法设计的轮廓与实际林道的轮廓的比较显示,只有2个断面的地层水平明显不同,并且3个坡度变化点的高度几乎与实际林道的高度完全对应。因此,我们认为,由GA设计的配置文件是最好的,或者是最好的之一。使用GA可以将计算时间减少到传统方法的约1/389,这表明使用GA的方法在设计轮廓时非常有用。

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